| Model Description | For this reason, we also construct a document-specific topic distribution gb. |
| Model Description | The auxiliary variable 0 indicates whether a given word’s topic is drawn from the set of keyphrase clusters, or from this topic distribution . |
| Posterior Sampling | The third term is the dependence of the word topics 2d,“, on the topic distribution 77d. |
| Posterior Sampling | The word topics 2 are sampled according to keyphrase topic distribution 77d, document topic distribution gbd, words w, and auxiliary variables c: |